The graph represents a network of 8,977 Twitter users whose tweets in the requested range contained "cesarean OR c-section", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 December 2020 at 14:35 UTC.
The requested start date was Friday, 25 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 1-hour, 27-minute period from Monday, 14 December 2020 at 05:51 UTC to Thursday, 24 December 2020 at 07:19 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 8977
Unique Edges : 4332
Edges With Duplicates : 9765
Total Edges : 14097
Number of Edge Types : 5
Retweet : 4477
MentionsInRetweet : 4760
Tweet : 1447
Replies to : 1564
Mentions : 1849
Self-Loops : 1470
Reciprocated Vertex Pair Ratio : 0.0116400732409103
Reciprocated Edge Ratio : 0.0230122818358112
Connected Components : 2073
Single-Vertex Connected Components : 1038
Maximum Vertices in a Connected Component : 2770
Maximum Edges in a Connected Component : 5574
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.254356
Graph Density : 9.59944774693577E-05
Modularity : 0.550709
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,977 Twitter users whose tweets in the requested range contained "cesarean OR c-section", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 December 2020 at 14:35 UTC.
The requested start date was Friday, 25 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 1-hour, 27-minute period from Monday, 14 December 2020 at 05:51 UTC to Thursday, 24 December 2020 at 07:19 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : cesarean OR c-section
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2711] section,scar [2632] slaps,section [2632] scar,cut [2614] niggazwilin,slaps [503] emergency,section [293] gave,birth [261] cesarean,section [259] birth,section [241] section,baby [168] covid,19 Top Word Pairs in Tweet in G1:
[2609] slaps,section [2609] section,scar [2609] scar,cut [2608] niggazwilin,slaps [4] mfs,born [4] born,section [4] section,nerve [4] nerve,call [4] call,birthday [4] birthday,nah Top Word Pairs in Tweet in G2:
[130] emergency,section [57] cesarean,section [55] section,baby [43] section,scar [36] born,section [29] having,section [20] cesarean,delivery [20] birth,section [19] umbilical,cord [19] being,born Top Word Pairs in Tweet in G3:
[82] emergency,section [39] evanjstern,childbirth [20] born,section [15] evanjstern,born [14] around,neck [14] evanjstern,birth [13] evanjstern,section [13] middle,ages [13] ehenak,evanjstern [13] died,childbirth Top Word Pairs in Tweet in G4:
[85] section,rate [81] rate,private [75] private,hospitals [68] 80,section [68] section,bad [68] bad,district [68] district,level [68] level,data [68] data,looks [68] looks,worse Top Word Pairs in Tweet in G5:
[4] difference,between [4] between,fetus [4] fetus,baby [4] baby,location [4] location,false [4] false,baby [4] baby,delivered [4] delivered,section [4] section,cant [3] uncolacola,lourdesovrall Top Word Pairs in Tweet in G6:
[120] gave,birth [85] gillian,mcintosh [84] good,news [84] news,gillian [84] mcintosh,abbotsford [84] abbotsford,woman [84] woman,gave [84] birth,section [84] section,early [84] early,november Top Word Pairs in Tweet in G7:
[9] irishbrat1966,mrpetesonality [9] mrpetesonality,dirtydawgjp [9] dirtydawgjp,jsg_54 [9] jsg_54,johnjew40051316 [9] johnjew40051316,chelemp [9] chelemp,nitaghei [7] nitaghei,keesaroo [6] keesaroo,rollinslynda [6] rollinslynda,rosesdaughter61 [6] rosesdaughter61,eullrich11 Top Word Pairs in Tweet in G8:
[35] section,rate [25] rmatthewspsyedu,guardian [23] kirstiemallsopp,rmatthewspsyedu [21] maternity,care [19] women,need [19] pain,relief [18] natural,childbirth [18] childbirth,fetishised [18] fetishised,long [18] long,healthcare Top Word Pairs in Tweet in G9:
[2] donholtmac,umfpt [2] umfpt,friendof_darwin [2] friendof_darwin,anthonyt2_mufc [2] canna420uk,commonsensejan [2] commonsensejan,pauldubuisson [2] pauldubuisson,myhighhills [2] myhighhills,enby896 [2] enby896,ayrshirebog [2] ayrshirebog,lindaz333 [2] lindaz333,imkimaaron Top Word Pairs in Tweet in G10:
[84] first,day [84] day,obgyn [84] obgyn,today [84] today,passed [84] passed,faceplanted [84] faceplanted,poor [84] poor,patient [84] patient,knee [84] knee,ended [84] ended,wasn Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: